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AI & Machine Learning Engineering Consultant - Manager - Consulting

Job in Oklahoma City, Oklahoma County, Oklahoma, 73116, USA
Listing for: EY
Full Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Analyst, Data Scientist
Job Description & How to Apply Below
Position: AI & Machine Learning Engineering Consultant - Manager - Consulting - Location OPEN

AI & Machine Learning Engineering Consultant - Manager - Consulting - Location OPEN

At EY, we help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help build a better working world.

Technology – Data and Decision Science – AI Native Engineering

AI/Machine Learning Engineer, Manager Consultant

The opportunity

Our Artificial Intelligence and Data team applies cutting‑edge technology and techniques to bring solutions to our clients. In this role you will sit side‑by‑side with clients and diverse EY teams to create a well‑rounded approach to advising and solving challenging problems, some of which have not been solved before. You will research, build, and implement scalable AI systems that learn and predict tailored to business requirements across cloud and on‑premises environments.

You will enhance data pipelines and storage, monitor and evaluate learning processes, and collaborate with other data and analytics professionals to industrialize analysis into effective analytics solutions.

Your Key Responsibilities

  • Lead workstream delivery and manage processes and projects effectively.
  • Continuously improve processes by identifying innovative solutions through research and analysis.
  • Manage professional employees and supervise teams to deliver complex technical initiatives with accountability for performance and results.
  • Engage actively with clients, participate in daily working sessions, and lead work streams from planning through execution to closure.
  • Identify opportunities for additional services and manage engagement economics.

Skills and Attributes for Success

  • Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.
  • Strong judgment in selecting methods and techniques for obtaining results.
  • Experience in managing client relationships and delivering high‑quality service.
  • Ability to lead teams effectively and manage change within the organization.

Qualifications

  • Bachelor’s degree required (4‑year degree).
  • 6–10 years of relevant full‑time experience in AI, Data Science, and/or Machine Learning.
  • 2–4 years of experience directly managing technical teams.
  • Strong skills in Python.
  • Ability to lead, collaborate, and communicate effectively with diverse, hybrid, and global teams.
  • Experience designing, building, and maintaining production AI/ML solutions on a major cloud platform.
  • Proficient in Generative AI models and frameworks (e.g., OpenAI, DALL‑E, Lang Chain, Retrieval Augmented Generation).
  • Experience with natural language processing and deep learning.
  • Extensive experience in Dev Ops tools (GIT, Azure Dev Ops), Agile methodologies (Jira), and CI/CD pipelines.
  • Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation.
  • Experience with model retraining and feedback loop methodologies.
  • Experience with model and solution monitoring and reporting.
  • Understanding of data structures, data modelling, and software engineering best practices.
  • Strong foundation in mathematics, statistics, and operations research; proficiency in SQL, Pandas, Spark, and deep learning techniques.
  • Excellent communication skills for conveying findings and recommendations; willingness to travel for client engagements.
  • Skills in Technical Design Optimization.
  • Strong relationship‑building skills.
  • Demonstrated client trust and value.
  • Digital fluency and emotional agility.
  • Commercial acumen and negotiation skills.
  • Proven ability to lead teams and manage change.

Ideal Additional Experience

  • Deep understanding of and ability to teach concepts, tools, and benefits of different AI approaches.
  • Master’s degree in Computer Science, Mathematics, Physical Sciences, or other quantitative field.
  • Experience working with diverse teams to deliver complex solutions.
  • Strong skills in languages beyond Python: R, JavaScript, Java, C++,

    C.
  • Experience fine‑tuning Generative AI models.
  • Experience managing complex projects with multiple stakeholders.
  • Strong understanding of industry trends and emerging technologies.
  • Skills in data visualization and storytelling with data.
  • Experience with image or speech/audio processing and analysis.

What We Offer

  • C…
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